FINE-TUNING MAJOR MODEL PERFORMANCE

Fine-tuning Major Model Performance

To achieve optimal efficacy from major language models, a multi-faceted strategy is crucial. This involves meticulously selecting the appropriate dataset for fine-tuning, adjusting hyperparameters such as learning rate and batch size, and implementing advanced strategies like transfer learning. Regular monitoring of the model's performance is essen

read more